Publications

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Author Title [ Year(Asc)]
Filters: Author is Leal, Suzanne M and Keyword is Software  [Clear All Filters]
2019
He, Z., Wang, L., DeWan, A. T. & Leal, S. M. MendelProb: probability and sample size calculations for Mendelian studies of exome and whole genome sequence data. Bioinformatics 35, 529-531 (2019).
2015
Wang, G. T., Zhang, D., Li, B., Dai, H. & Leal, S. M. Collapsed haplotype pattern method for linkage analysis of next-generation sequence data. Eur J Hum Genet 23, 1739-43 (2015).
Li, B., Wang, G. T. & Leal, S. M. Generation of sequence-based data for pedigree-segregating Mendelian or Complex traits. Bioinformatics 31, 3706-8 (2015).
Ott, J., Wang, J. & Leal, S. M. Genetic linkage analysis in the age of whole-genome sequencing. Nat Rev Genet 16, 275-84 (2015).
2014
Wang, G. T., Li, B., Santos-Cortez, R. P. Lyn, Peng, B. & Leal, S. M. Power analysis and sample size estimation for sequence-based association studies. Bioinformatics 30, 2377-8 (2014).
Wang, G. T., Peng, B. & Leal, S. M. Variant association tools for quality control and analysis of large-scale sequence and genotyping array data. Am J Hum Genet 94, 770-83 (2014).
2012
Liu, D. J. & Leal, S. M. SEQCHIP: a powerful method to integrate sequence and genotype data for the detection of rare variant associations. Bioinformatics 28, 1745-51 (2012).
Li, B., Wang, G. & Leal, S. M. SimRare: a program to generate and analyze sequence-based data for association studies of quantitative and qualitative traits. Bioinformatics 28, 2703-4 (2012).
Liu, D. J. & Leal, S. M. A unified method for detecting secondary trait associations with rare variants: application to sequence data. PLoS Genet 8, e1003075 (2012).